Call for Paper - August 2022 Edition
IJCA solicits original research papers for the August 2022 Edition. Last date of manuscript submission is July 20, 2022. Read More

Image based Cats and Possums Identification for Intelligent Trapping Systems

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
T. A. S. Achala Perera, John Collins

Achala T A S Perera and John Collins. Image based Cats and Possums Identification for Intelligent Trapping Systems. International Journal of Computer Applications 159(2):12-18, February 2017. BibTeX

	author = {T. A. S. Achala Perera and John Collins},
	title = {Image based Cats and Possums Identification for Intelligent Trapping Systems},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {159},
	number = {2},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {12-18},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017912757},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Eigenface based recognition is widely used to identify individual faces. This technique is commonly used in human recognition domain. In this research, we are investigating for implementation of a possible solution; which can be used to identify species. The eigenface technique is a novel approach in animal recognition domain [1, 2]. In this application, cats and possums are targeted as species of interest. The main reason for targeting cats and possum is, these introduced species are classified as threat to New Zealand natural environment and native wildlife. The next phase of this research project is to implement a vision based trapping system. This paper explains a novel classifier to use with eigenface techniques to separate different species.


  1. T. A. S. A. Perera and J. Collins, "A Novel Eigenface based Species Recognition System," International Journal of Computer Applications, vol. 115, pp. 19-23, April 2015.
  2. T. A. S. A. Perera and J. Collins, "Imaged Based Species Recognition System," in 2015 9th International Conference on Sensing Technology (ICST), Auckland 2015, pp. 195-199.
  3. M. A. Turk and A. P. Pentland, "Face recognition using eigenfaces," in Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on, 1991, pp. 586-591.
  4. M. Smiatacz, "Eigenfaces, Fisherfaces, Laplacianfaces, Marginfaces – How to Face the Face Verification Task," in Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. vol. 226, R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, and A. Zolnierek, Eds., ed: Springer International Publishing, 2013, pp. 187-196.
  5. M. Turk and A. Pentland, "Eigenfaces for Recognition," Cognitive Neuroscience, Journal of, vol. 3, pp. 71-86, 1991.
  6. P. N. Belhumeur, J. P. Hespanha, and D. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 19, pp. 711-720, 1997.
  7. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th ed. New York: Dover, 1972.
  8. W. W. R. Ball and H. S. M. Coxeter, Mathematical Recreations and Essays. New York: Dover, 1987.
  9. S. Alakkari and J. J. Collins, "Eigenfaces for Face Detection: A Novel Study," in Machine Learning and Applications (ICMLA), 2013 12th International Conference on, 2013, pp. 309-314.
  10. E. W. Weisstein. "Exponential Decay." From MathWorld--A Wolfram Web Resource. Available:
  11. J. Stewart, Calculus Concepts And Contexts Gary W. Ostedt, 2001.


Euclidean distance, face recognition, animal detection